We are now looking for a Formal Verification Manager to join our NVIDIA Networking team! As a Formal Verification Manager in NVIDIA’s Networking Business Unit, you will lead a team of highly skilled formal engineers responsible for verifying the next generation of NVIDIA’s cutting-edge Network products and GPU technologies.
This is a unique opportunity to make a real impact at the heart of NVIDIA’s AI and HPC revolution, while working in a fast-paced, innovative environment. You will be part of a passionate and experienced team using leading formal verification tools and methodologies to ensure design correctness at the highest level. Your work will influence key architectural decisions and help deliver world-class silicon solutions for data centers, high-performance computing, networking, and storage applications.
What You’ll Be Doing:
Lead and grow a team of formal verification engineers focused on pre-silicon Formal verification of complex digital designs.
Define and drive formal verification strategies and methodologies to prove the correctness of designs across multiple projects.
Collaborate closely with Architecture, Design, DV teams to identify verification needs and drive closure.
Provide technical guidance, mentoring, and support to engineers in the team.
Own the planning and execution of formal verification deliverables to ensure high quality and timely tapeouts.
What We Need to See:
BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics.
3+ years of managerial experience in a chip design or verification domain.
8+ years of overall industry experience in formal verification, functional verification, or RTL design.
Deep understanding of formal verification concepts, tools, and flows.
Excellent leadership, problem-solving, and communication skills.
Strong analytical and debugging abilities.
Ways to Stand Out from the Crowd:
Hands-on experience with formal verification
Background in developing formal testbenches, assertions, and coverage models.
Managerial experience in chip design domain
A passion for recruiting , leading , mentoring engineers and building strong, collaborative teams.
At NVIDIA, we believe that our people are our greatest strength. Are you a creative and driven engineering leader who’s ready to take on the challenge of ensuring correctness in the most complex chips in the world? Join us and be a part of building the future of accelerated computing
Skills Required
- BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics
- 3+ years of managerial experience in chip design or verification
- 8+ years of overall industry experience in formal verification, functional verification, or RTL design
- Deep understanding of formal verification concepts, tools, and flows
- Excellent leadership, problem-solving, and communication skills
- Strong analytical and debugging abilities
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
